EP3146505A1 - Visualisation de tissu d'intérêt dans des données d'images à contraste amélioré - Google Patents

Visualisation de tissu d'intérêt dans des données d'images à contraste amélioré

Info

Publication number
EP3146505A1
EP3146505A1 EP15731398.2A EP15731398A EP3146505A1 EP 3146505 A1 EP3146505 A1 EP 3146505A1 EP 15731398 A EP15731398 A EP 15731398A EP 3146505 A1 EP3146505 A1 EP 3146505A1
Authority
EP
European Patent Office
Prior art keywords
vesselness
voxel
ray
value
hypo
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP15731398.2A
Other languages
German (de)
English (en)
Other versions
EP3146505B1 (fr
Inventor
Rafael Wiemker
Tobias Klinder
Thomas Buelow
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips NV
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Koninklijke Philips NV filed Critical Koninklijke Philips NV
Publication of EP3146505A1 publication Critical patent/EP3146505A1/fr
Application granted granted Critical
Publication of EP3146505B1 publication Critical patent/EP3146505B1/fr
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/06—Ray-tracing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/08—Volume rendering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/187—Segmentation; Edge detection involving region growing; involving region merging; involving connected component labelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
    • G06V10/421—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation by analysing segments intersecting the pattern
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/50—Picture reproducers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/56—Processing of colour picture signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/56—Processing of colour picture signals
    • H04N1/60—Colour correction or control
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/41—Medical
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/20—Indexing scheme for editing of 3D models
    • G06T2219/2008—Assembling, disassembling

Definitions

  • a method in one aspect, includes obtaining contrast-enhanced image data having a plurality of voxels, each voxel having an intensity value. The method further includes determining a vesselness value for each voxel. The method further includes determining a hypo-density value for each voxel. The method further includes weighting each of the intensity values by a corresponding vesselness value. The method further includes weighting each of the hypo-density values by the corresponding vesselness value.
  • the invention may take form in various components and arrangements of components, and in various steps and arrangements of steps.
  • the drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention.
  • FIGURE 2 shows a prior art MIP rendering corresponding to the image data in the volume of interest bounding box of FIGURE 1.
  • FIGURE 3 schematically illustrates an example computing system with an image data processing module in connection with an imaging system.
  • hypo-density filter 404 is schematically illustrated.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Computer Graphics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Architecture (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Generation (AREA)

Abstract

Procédé consistant à obtenir des données d'images à contraste amélioré comprenant une pluralité de voxels, chaque voxel ayant une valeur d'intensité. Le procédé consiste également à déterminer une valeur de vaisseaux pour chaque voxel. Le procédé consiste également à déterminer une valeur d'hypodensité pour chaque voxel. Le procédé consiste en outre à pondérer chacune des valeurs d'intensité au moyen d'une valeur de vaisseaux correspondante. Le procédé consiste également à pondérer chacune des valeurs d'hypodensité au moyen de la valeur de vaisseaux correspondante. Le procédé consiste également à combiner les valeurs d'intensité pondérées et les valeurs d'hypodensité pondérées, ce qui permet de générer des données d'images composites. Le procédé consiste également à afficher visuellement les données d'images composites.
EP15731398.2A 2014-05-19 2015-05-19 Visualisation de tissu d'intérêt dans des données d'images à contraste amélioré Active EP3146505B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201462000057P 2014-05-19 2014-05-19
PCT/IB2015/053678 WO2015177723A1 (fr) 2014-05-19 2015-05-19 Visualisation de tissu d'intérêt dans des données d'images à contraste amélioré

Publications (2)

Publication Number Publication Date
EP3146505A1 true EP3146505A1 (fr) 2017-03-29
EP3146505B1 EP3146505B1 (fr) 2019-08-07

Family

ID=53487391

Family Applications (1)

Application Number Title Priority Date Filing Date
EP15731398.2A Active EP3146505B1 (fr) 2014-05-19 2015-05-19 Visualisation de tissu d'intérêt dans des données d'images à contraste amélioré

Country Status (6)

Country Link
US (1) US10074207B2 (fr)
EP (1) EP3146505B1 (fr)
JP (1) JP6195681B2 (fr)
CN (1) CN106415659B (fr)
RU (1) RU2692038C2 (fr)
WO (1) WO2015177723A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3460712A1 (fr) 2017-09-22 2019-03-27 Koninklijke Philips N.V. Détermination des régions de tissu pulmonaire hyperdense dans une image d'un poumon
US10832403B2 (en) * 2018-05-14 2020-11-10 Koninklijke Philips N.V. Systems, methods, and apparatuses for generating regions of interest from voxel mode based thresholds
CN111612860B (zh) * 2019-02-22 2023-09-15 曹生 基于VRDS 4D医学影像的栓塞的Ai识别方法及产品

Family Cites Families (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2003278520A1 (en) 2002-11-20 2004-06-15 Koninklijke Philips Electronics N.V. Computer-aided detection of lung nodules
JP4560643B2 (ja) 2003-06-17 2010-10-13 株式会社Ａｚｅ 呼吸気ｃｔ画像による換気分布計測方法
US20050014217A1 (en) * 2003-07-18 2005-01-20 Cytokinetics, Inc. Predicting hepatotoxicity using cell based assays
CN1942898A (zh) * 2004-04-01 2007-04-04 皇家飞利浦电子股份有限公司 用于发现狭窄的方法和成像诊断装置
US7715608B2 (en) 2004-08-10 2010-05-11 Siemens Medical Solutions Usa, Inc. System and method for 3D visualization of lung perfusion or density and statistical analysis thereof
WO2006125188A1 (fr) * 2005-05-19 2006-11-23 The Brigham And Women's Hospital, Inc Methodes et systemes d'analyse d'images neuronales microscopiques tridimensionnelles
EP2036039A2 (fr) * 2006-06-23 2009-03-18 Koninklijke Philips Electronics N.V. Procede, systeme et progiciel de determination d'un seuil dans une image comprenant des valeurs d'image
JP2010500079A (ja) * 2006-08-09 2010-01-07 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ 画像データセットの対象物における構造体の定量化のための方法、装置、グラフィック・ユーザ・インタフェース、コンピュータ可読媒体、及び使用
WO2008065611A2 (fr) 2006-11-30 2008-06-05 Koninklijke Philips Electronics N.V. Visualisation d'une structure vasculaire
US8244012B2 (en) 2007-02-05 2012-08-14 Siemens Medical Solutions Usa, Inc. Computer aided detection of pulmonary embolism with local characteristic features in CT angiography
JP2010528750A (ja) 2007-06-07 2010-08-26 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ 管状構造の検査
US7965810B2 (en) 2007-06-26 2011-06-21 General Electric Company Device and method for identifying occlusions
EP2203894B1 (fr) * 2007-09-03 2011-03-02 Koninklijke Philips Electronics N.V. Visualisation de données de voxels
US8588492B2 (en) * 2007-11-20 2013-11-19 Koninklijke Philips N.V. Visualization of vascularization
JP2011514227A (ja) * 2008-03-17 2011-05-06 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ 灌流画像法
WO2010055431A1 (fr) * 2008-11-17 2010-05-20 Koninklijke Philips Electronics N.V. Visualisation et quantification d'un réseau microvasculaire nouvellement formé
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CN102473297B (zh) * 2009-06-30 2015-07-15 皇家飞利浦电子股份有限公司 量化灌注分析
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WO2012077019A2 (fr) * 2010-12-09 2012-06-14 Koninklijke Philips Electronics N.V. Rendu volumétrique de données d'image
EP2828826B1 (fr) * 2012-03-23 2019-05-08 Koninklijke Philips N.V. Extraction de l'emphysème bulleux et de l'emphysème diffus, par exemple dans les images de volume ct des poumons

Also Published As

Publication number Publication date
EP3146505B1 (fr) 2019-08-07
CN106415659A (zh) 2017-02-15
JP2017515602A (ja) 2017-06-15
JP6195681B2 (ja) 2017-09-13
RU2016149394A3 (fr) 2018-11-20
US10074207B2 (en) 2018-09-11
RU2692038C2 (ru) 2019-06-19
CN106415659B (zh) 2020-10-16
WO2015177723A1 (fr) 2015-11-26
RU2016149394A (ru) 2018-06-20
US20170186215A1 (en) 2017-06-29

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